Evaluating the long-run impact of an innovative anti-poverty programme: evidence using household panel data

Using a four-round panel data set from the first phase of the Challenging the Frontiers of Poverty Reduction – Targeting the Ultra Poor (CFPR – TUP) programme of BRAC, we investigate whether a one-off transfer of livestock assets improves well-being of the very poor women in Bangladesh. Programme impact is assessed on a wide range of monetary and nonmonetary measures of well-being using difference-in-difference (DD) as well as matching methods. We find significant positive long-term impact on food security, household savings, assets and participation in microfinance. Participant women are less likely to be in distress occupation and more into self-employment. However, the long-term effect is much smaller for most outcomes when compared to short- and medium-run impacts. We conclude by discussing the significance of the institutional and regional context for the observed time path of estimated programme effect.     

Ambiguity aversion among student subjects: the role of probability interval and emotional parameters

In the literature on decision-making under uncertainty, it has been shown that decision-makers tend to prefer taking gambles with known-risk probabilities (pure risk) over equivalent gambles with ambiguous probabilities. This article contributes to the ongoing discussion in the literature on cognitive and non-cognitive covariates of ambiguity aversion. Through a series of experiments, it finds that subjects are more ambiguity-averse to prospects with wide probability intervals than to an equivalent prospect with narrow intervals, and that subjects’ inherent trust, happiness and level of optimism affect the level of ambiguity aversion.     

Marine-tourism development on a small island in Indonesia: blessing or curse?

Indonesia is a popular tourist destination. Tourism creates jobs and generates revenue but can have negative impacts on culture, society and human rights. This study of one island community in Indonesia explores the relationship between the growth of tourism and the impacts on a local community. A quantitative survey, combined with in-depth interviews, examined perceptions of residents to tourism development. Residents perceived that tourism created jobs and improved access to goods and services. However, tourism has reduced social cohesion and decreased adherence to traditional customs. Conflict between the private sector and residents over ownership and access have also caused violence.     

Estimating returns to soil conservation adoption in the northern Ethiopian highlands

Land degradation in the form of soil erosion and nutrient depletion presents a threat to food security and sustainability of agricultural production in many developing countries. Governments and development agencies have invested substantial resources to promote soil conservation practices as part of an effort to improve environmental conditions and reduce poverty. However, limited rigorous empirical work has been done on the economics of soil conservation technology adoption. This article investigates the impact of stone bunds on value of crop production per hectare in low and high rainfall areas of the Ethiopian highlands using cross-sectional data from more than 900 households, with multiple plots per household. We have used modified random effects models, stochastic dominance analysis (SDA), and matching methods to ensure robustness. The parametric regression and SDA estimates are based on matched observations obtained from the nearest neighbor matching using propensity score estimates. This is important, because conventional regression and SDA estimates are obtained without ensuring that there actually exist comparable conserved and nonconserved plots on the distribution of covariates. We use matching methods, random effects, and Mundlak's approach to control selection and endogeneity bias that may arise due to correlation of unobserved heterogeneity and observed explanatory variables.
We find that the three methods tell a consistent story. Plots with stone bunds are more productive than those without such technologies in semi-arid areas but not in higher rainfall areas, apparently because the moisture conserving benefits of this technology are more beneficial in drier areas. This implies that the performance of stone bunds varies by agro-ecology type, suggesting the need for designing and implementing appropriate site-specific technologies.     

WHAT DETERMINES RELIGIOUS SCHOOL CHOICE? THEORY AND EVIDENCE FROM RURAL BANGLADESH

This paper looks at the determinants of school selection in rural Bangladesh, focusing on the choice between registered Islamic and non‐religious schools. Using a unique dataset on secondary school‐age children from rural Bangladesh, we find that madrasah enrolment falls as household income increases. At the same time, more religious households, and those that live further away from a non‐religious school are more likely to send their children to madrasahs. However, in contrast to the theory, we find that Islamic school demand does not respond to the average quality of schools in the locality.     

Pursuing self-interest or self-actualization? From capitalism to a steady-state, wisdom economy

The co-evolution of capitalism, democracy and science since 1800 has led to enormous progress but also major existential problems. This article asserts that these problems are rooted in neo-classical economics' narrow focus within human nature on self-interest, which causes intense conflicts for scarce resources among people, societies, species and generations. It describes how an emphasis on the totality of human nature in life, with a focus on self-actualization instead of self-interest as the main driving force and wisdom rather than wealth as the ultimate aim, can lead to a steady-state, wisdom economy that can simultaneously ensure high personal welfare and collective sustainability.     

Agro-Climatic Conditions and Regional Technical Inefficiencies in Agriculture

A survey of applications of the Technical Inefficiency Effects (TIE) model suggests that agro‐climatic and other environment variables are customarily omitted in the model specifications. The justification for such an omission is the assumption that these variables are beyond the control of the farmers and therefore should be treated as random variables. In this paper, we argue that in applications dealing with regional agricultural data, agro‐climatic variables should not be treated as pure random terms. Historical differences in agro‐climatic conditions are known with a reasonable degree of certainty across a larger region. Therefore, omission of such variables from the analysis may lead to inaccurate interregional technical inefficiency comparisons. In order to demonstrate the importance of agro‐climatic variables in such analyses, we estimate the TIE model for Turkey. A translog stochastic frontier production function with agro‐climatic variables such as rainfall and land quality is estimated, and it is shown not only that the agro‐climatic variables are statistically significant but also that their omission substantially affects mean output elasticities and relative technical efficiencies. Une étude sur les applications du modèle de l'effet d'inefficacité technique (EIT) laisse à supposer que les variables agro‐climatiques et les autres variables environnementales sont comme d'habitude omises dans les spécifications du modèle. Une telle omission est justifiée par l'hypothèse selon laquelle ces variables sont en dehors du contrôle des fermiers et devraient être considérées comme des variables aléatoires. Dans ce communiqué, nous affirmons que dans les applications concernant les données agricoles régionales, ces variables agro‐climatiques ne doivent pas être traitées comme de simples termes aléatoires. Les différences historiques dans les conditions agro‐climatiques sont connues avec un degré raisonnable de certitudes pour une grande région. Aussi l'omission de telles variables dans l'analyse peut‐elle donner lieu à de fausses comparaisons interrégionales d'inefficacité technique. Afin de démontrer l'importance des variables agro‐climatiques dans de telles analyses, nous considérons le modèle de l'effet d'inefficacité techniques de la Turquie. II s'agit d'une fonction de production frontalière translogue et stochastique avec des variables agro‐climatiques telles que la pluviosité, la qualité de sol et d'autres variables. Nous démontrons que les variables agro‐climatiques sont non seulement importantes statistiquement, mais que leur omission influence essentiellement les élasticités moyennes de production ainsi que les efficacités techniques relatives.     

Economic status of households and labour supply to market and non-market activities mdash; some results from a poor rural economy

Assuming a given underlying utility structure for all households, we have demonstrated that the differential labour supply behaviour among household categories results owing to the different sets of constraints they face depending on their economic status and asset ownership. Using the criteria implied by the theoretical model four household gorups are defined. The labour supply functions estimated for these four groups support the theoretical result of significantly different supply behaviour. The empirical exercise, as expected, indicates that the labour supply decision of the subsistence group is guided by their need to achieve the minimum level of consumption while the middle-income households, who do not have enough non-labour income to meet their minimum subsistence need, tend to work longer hours in market activities than the workers from high-income households. However, market labour supply by high-income households is found to be relatively more sensitive to changes in the wage rate. The behaviour of the household groups differ so significantly that if an aggregate model is estimated ignoring inter-household differences, the predicted hours will grossly over-estimate labour supply to market activities.     

Effects of country-level legal,extra-legal and political institutions on auditing: A cross-country analysis of the auditor specialization premium

In this cross-country study of the specialist auditor premium, which spans the US and 12 other countries, we provide evidence that country-level institutional strength increases average audit fees, but reduces the incremental demand for specialist auditors. This finding supports the hypothesis that strong institutions and the demand for specialist knowledge act as substitutes in providing the requisite assurance of financial statements.